import pandas
sub_info = pandas.read_csv("contract.csv")
#sub_info
#print (sub_info)
type(sub_info)
#print (sub_info.dtypes)
first_rows = sub_info.head(1)
#print (first_rows)
#print (sub_info.columns)
#print (sub_info.shape)
#print (sub_info.loc[1])
sub_info.loc[0:3]
two_five_nine = [2,5,9]
sub_info.loc[two_five_nine]
id1 = sub_info["CONTRACTID"]
id1
str1 = ["CONTRACTID","STATUS"]
id2 = sub_info[str1]
id2
sub_info.columns
columns_list = sub_info.columns.tolist()
time_list = []
for i in columns_list:
if i.endswith("TIME"):
time_list.append(i)
time_info = sub_info[time_list]
is_value_empty = time_info.isnull()
is_value_empty
time_info.fillna("0")
# NaN:method='pad'
time_info.fillna(method='pad')
# pad ,bfill NaN
time_info.fillna(method='bfill')
# limit NaN
time_info.fillna(method='bfill',limit=1)
# NaN
time_info.fillna(time_info.mean())
# NaN
time_info.fillna(time_info.mean()['SUBTIME':'OPRTIME'])
test_info = sub_info[["CONTRACTID","STATUS"]]
#A value is trying to be set on a copy of a slice from a DataFrame
test_num = test_info["STATUS"] / 10
test_info["test"] = test_num
test_info
test_num = sub_info["STATUS"] / 10
sub_info["test"] = test_num
sub_info
CONTRACTID_MAX = sub_info["CONTRACTID"].max()
max_percent = sub_info["CONTRACTID"] / CONTRACTID_MAX
sub_info["max_percent"] = max_percent
# , True ,
sub_info.sort_values("CONTRACTID",inplace=True)
sub_info
#ascending
sub_info.sort_values("CONTRACTID",inplace=True,ascending=False)
sub_info